Data On Demand, one-stop data solution
Markets Local sources. Your time zone.

Teams in five regions rely on us for local-language, multi-currency data.

Global coverage
Company A decade of data expertise.

An in-house team of 20+ engineers and analysts serving clients in 12+ countries.

About us
Data type

Rates and fares by date, room and point of sale.

Travel prices depend on stay or departure date, lead time, room or cabin type and where the shopper is searching from. We collect hotel rates, airfares and car rental prices from online travel agencies and direct sites across those dimensions, so revenue teams see the full picture.

The challenge

A single rate check tells you little because prices vary by date, length of stay, occupancy, cancellation policy and point of sale. Rate parity issues between direct and third-party channels often go unnoticed until bookings shift.

With Data On Demand

You get a structured rate grid for your property or route and its competitive set, across the dates and conditions that matter. Parity gaps and competitor rate moves are visible early enough to respond.

What’s included

Everything needed to run it in production.

01

Shopping grid design

We agree stay or departure dates, lead times, lengths of stay, occupancy and points of sale to shop.

02

Hotel rate details

Room type, board basis, cancellation policy, taxes and fees and total price per stay.

03

Airfare and car rental

Fares by route, cabin and fare family, and rental prices by pick-up location, car class and duration.

04

Channel comparison

Direct brand sites and online travel agencies shopped in parallel to measure rate parity.

05

Point-of-sale variation

Searches run from different countries and currencies to capture geographic price differences.

06

Availability signals

Sold-out dates and restricted rates recorded as indicators of demand.

Sample output

What lands in your systems.

Typical fields
property_or_routechannelcheck_in_datelength_of_stayroom_or_cabintotal_pricecurrencypoint_of_sale
Hotel rate shop across channels and points of sale
shop_datepropertychannelcheck_inroom_typetotal_pricecurrencypoint_of_sale
2026-10-01Beach Resort A, DubaiDirect site2026-12-20Deluxe sea view, B&B2,450.00AEDUAE
2026-10-01Beach Resort A, DubaiOTA 12026-12-20Deluxe sea view, B&B2,395.00AEDUAE
2026-10-01Beach Resort A, DubaiOTA 22026-12-20Deluxe sea view, B&B712.00USDUnited States
2026-10-01City Hotel B, JeddahOTA 12026-12-20Superior king, room only780.00SARSaudi Arabia
2026-10-01Boutique Hotel C, CancúnDirect site2026-12-20Junior suite, all inclusive9,850.00MXNMexico

Illustrative rows. Your schema, field names and formats are agreed during scoping.

Use cases by team

Who uses it, and for what.

Revenue managers compare their rates with the competitive set for each future date. Pricing decisions reflect how competitors are pricing the same nights.

How it runs
  1. Scope. Tell us the sources, fields and frequency. We confirm feasibility within a day.
  2. Free sample. A real sample from your own target source, in your format.
  3. Build. Engineers build extractors tuned to each source. No generic templates.
  4. Validate. Automated and manual QA on every run before anything ships.
  5. Deliver and monitor. Scheduled delivery, monitored pipelines, fast fixes when sites change.
How we work
FAQ

Questions about travel rates & fares data

Can’t find your answer? Ask an engineer

Which dates and conditions do you shop?

We agree a shopping grid with you covering stay or departure dates, lead times, lengths of stay, occupancy and points of sale. The grid can be weighted towards near-term dates that change fastest.

Can you measure rate parity?

Yes. We shop your direct site and online travel agencies at the same time with the same conditions, and flag differences above your tolerance.

Do you include taxes and fees?

We capture the displayed price and, where shown, the breakdown of taxes and fees and the total. This matters because presentation differs by channel and market.

Do you cover flights and car rental as well as hotels?

Yes. Airfares are collected by route, cabin and fare family, and car rental by location, class and duration, using the same grid approach.

Start with proof

See your own data before you commit.

Name the sources and fields you need. Within 24–48 hours you receive a real sample from your target sites, in your format, free of charge.

Request a free sample Talk to a data engineer Sample in 24–48 hours · NDA on request · Any format, any schedule